Overview

Brought to you by YData

Dataset statistics

Number of variables15
Number of observations3762
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory653.0 KiB
Average record size in memory177.7 B

Variable types

Text1
Categorical1
Numeric13

Alerts

ASM is highly overall correlated with Class and 4 other fieldsHigh correlation
Class is highly overall correlated with ASM and 4 other fieldsHigh correlation
Contrast is highly overall correlated with DissimilarityHigh correlation
Dissimilarity is highly overall correlated with ASM and 5 other fieldsHigh correlation
Energy is highly overall correlated with ASM and 4 other fieldsHigh correlation
Entropy is highly overall correlated with ASM and 4 other fieldsHigh correlation
Homogeneity is highly overall correlated with ASM and 4 other fieldsHigh correlation
Kurtosis is highly overall correlated with Mean and 1 other fieldsHigh correlation
Mean is highly overall correlated with Kurtosis and 3 other fieldsHigh correlation
Skewness is highly overall correlated with Kurtosis and 1 other fieldsHigh correlation
Standard Deviation is highly overall correlated with Mean and 1 other fieldsHigh correlation
Variance is highly overall correlated with Mean and 1 other fieldsHigh correlation
Image has unique values Unique

Reproduction

Analysis started2025-04-07 19:14:08.928886
Analysis finished2025-04-07 19:14:32.038460
Duration23.11 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Image
Text

Unique 

Distinct3762
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size241.5 KiB
2025-04-07T19:14:32.491709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.7057416
Min length6

Characters and Unicode

Total characters32751
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3762 ?
Unique (%)100.0%

Sample

1st rowImage1
2nd rowImage2
3rd rowImage3
4th rowImage4
5th rowImage5
ValueCountFrequency (%)
image3 1
 
< 0.1%
image3762 1
 
< 0.1%
image3747 1
 
< 0.1%
image3748 1
 
< 0.1%
image3749 1
 
< 0.1%
image3750 1
 
< 0.1%
image3751 1
 
< 0.1%
image3752 1
 
< 0.1%
image3753 1
 
< 0.1%
image3754 1
 
< 0.1%
Other values (3752) 3752
99.7%
2025-04-07T19:14:32.963416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 3762
11.5%
m 3762
11.5%
a 3762
11.5%
g 3762
11.5%
e 3762
11.5%
1 2157
 
6.6%
2 2157
 
6.6%
3 1919
 
5.9%
4 1156
 
3.5%
5 1156
 
3.5%
Other values (5) 5396
16.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 32751
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
I 3762
11.5%
m 3762
11.5%
a 3762
11.5%
g 3762
11.5%
e 3762
11.5%
1 2157
 
6.6%
2 2157
 
6.6%
3 1919
 
5.9%
4 1156
 
3.5%
5 1156
 
3.5%
Other values (5) 5396
16.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 32751
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
I 3762
11.5%
m 3762
11.5%
a 3762
11.5%
g 3762
11.5%
e 3762
11.5%
1 2157
 
6.6%
2 2157
 
6.6%
3 1919
 
5.9%
4 1156
 
3.5%
5 1156
 
3.5%
Other values (5) 5396
16.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 32751
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
I 3762
11.5%
m 3762
11.5%
a 3762
11.5%
g 3762
11.5%
e 3762
11.5%
1 2157
 
6.6%
2 2157
 
6.6%
3 1919
 
5.9%
4 1156
 
3.5%
5 1156
 
3.5%
Other values (5) 5396
16.5%

Class
Categorical

High correlation 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size213.2 KiB
0
2079 
1
1683 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3762
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 2079
55.3%
1 1683
44.7%

Length

2025-04-07T19:14:33.082049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-07T19:14:33.163287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 2079
55.3%
1 1683
44.7%

Most occurring characters

ValueCountFrequency (%)
0 2079
55.3%
1 1683
44.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3762
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2079
55.3%
1 1683
44.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3762
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2079
55.3%
1 1683
44.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3762
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2079
55.3%
1 1683
44.7%

Mean
Real number (ℝ)

High correlation 

Distinct3692
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4888899
Minimum0.078659058
Maximum33.239975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:33.260844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.078659058
5-th percentile1.8652466
Q14.9823952
median8.4775314
Q313.212723
95-th percentile20.096016
Maximum33.239975
Range33.161316
Interquartile range (IQR)8.2303276

Descriptive statistics

Standard deviation5.7280219
Coefficient of variation (CV)0.60365563
Kurtosis0.39294526
Mean9.4888899
Median Absolute Deviation (MAD)3.9276428
Skewness0.77324127
Sum35697.204
Variance32.810234
MonotonicityNot monotonic
2025-04-07T19:14:33.426051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.280593872 3
 
0.1%
8.031051636 3
 
0.1%
17.09414673 3
 
0.1%
20.94645691 3
 
0.1%
20.93920898 3
 
0.1%
17.10235596 3
 
0.1%
15.78457642 3
 
0.1%
12.98583984 3
 
0.1%
12.36689758 3
 
0.1%
12.02186584 3
 
0.1%
Other values (3682) 3732
99.2%
ValueCountFrequency (%)
0.07865905762 1
< 0.1%
0.09121704102 2
0.1%
0.1041717529 1
< 0.1%
0.1139984131 1
< 0.1%
0.1346893311 1
< 0.1%
0.1929321289 1
< 0.1%
0.1974334717 1
< 0.1%
0.2238769531 1
< 0.1%
0.2255706787 1
< 0.1%
0.2287902832 1
< 0.1%
ValueCountFrequency (%)
33.23997498 1
< 0.1%
32.97433472 1
< 0.1%
32.94685364 1
< 0.1%
32.83215332 1
< 0.1%
32.27738953 1
< 0.1%
32.20646667 1
< 0.1%
32.05630493 1
< 0.1%
31.83753967 1
< 0.1%
31.4763031 1
< 0.1%
30.85424805 1
< 0.1%

Variance
Real number (ℝ)

High correlation 

Distinct3699
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean711.10106
Minimum3.1456275
Maximum2910.5819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:33.626572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.1456275
5-th percentile123.15601
Q1363.22546
median622.58042
Q3966.95432
95-th percentile1614.6583
Maximum2910.5819
Range2907.4363
Interquartile range (IQR)603.72886

Descriptive statistics

Standard deviation467.4669
Coefficient of variation (CV)0.65738461
Kurtosis1.2729404
Mean711.10106
Median Absolute Deviation (MAD)285.83569
Skewness1.071127
Sum2675162.2
Variance218525.3
MonotonicityNot monotonic
2025-04-07T19:14:33.834429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
430.1628396 3
 
0.1%
779.6222414 3
 
0.1%
1557.892257 3
 
0.1%
862.8408442 3
 
0.1%
601.2920497 3
 
0.1%
620.0972298 3
 
0.1%
738.0188577 3
 
0.1%
882.6665544 3
 
0.1%
1483.413291 3
 
0.1%
1610.554097 3
 
0.1%
Other values (3689) 3732
99.2%
ValueCountFrequency (%)
3.145627505 1
< 0.1%
3.342206885 2
0.1%
10.21538985 1
< 0.1%
11.39591442 1
< 0.1%
13.85676079 1
< 0.1%
14.40111304 1
< 0.1%
14.59395097 1
< 0.1%
14.73018529 1
< 0.1%
17.17133332 1
< 0.1%
17.90826717 1
< 0.1%
ValueCountFrequency (%)
2910.581879 1
< 0.1%
2836.210522 1
< 0.1%
2770.228615 1
< 0.1%
2630.774546 1
< 0.1%
2604.354097 1
< 0.1%
2601.509927 1
< 0.1%
2598.678936 1
< 0.1%
2574.708624 1
< 0.1%
2568.612701 1
< 0.1%
2558.026301 1
< 0.1%

Standard Deviation
Real number (ℝ)

High correlation 

Distinct3699
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.182271
Minimum1.7735917
Maximum53.949809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:34.024246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7735917
5-th percentile11.097567
Q119.058475
median24.95156
Q331.095889
95-th percentile40.18281
Maximum53.949809
Range52.176217
Interquartile range (IQR)12.037414

Descriptive statistics

Standard deviation8.7735259
Coefficient of variation (CV)0.3484009
Kurtosis-0.19324251
Mean25.182271
Median Absolute Deviation (MAD)5.9685651
Skewness0.18499211
Sum94735.703
Variance76.974757
MonotonicityNot monotonic
2025-04-07T19:14:34.218483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.74036739 3
 
0.1%
27.9217163 3
 
0.1%
39.47014386 3
 
0.1%
29.37415265 3
 
0.1%
24.5212571 3
 
0.1%
24.90175154 3
 
0.1%
27.16650249 3
 
0.1%
29.70970472 3
 
0.1%
38.51510472 3
 
0.1%
40.13170937 3
 
0.1%
Other values (3689) 3732
99.2%
ValueCountFrequency (%)
1.773591696 1
< 0.1%
1.828170365 2
0.1%
3.196152351 1
< 0.1%
3.375783527 1
< 0.1%
3.722467031 1
< 0.1%
3.794879845 1
< 0.1%
3.820203001 1
< 0.1%
3.837992351 1
< 0.1%
4.143830755 1
< 0.1%
4.23181606 1
< 0.1%
ValueCountFrequency (%)
53.94980888 1
< 0.1%
53.25608436 1
< 0.1%
52.63296129 1
< 0.1%
51.29107667 1
< 0.1%
51.03287271 1
< 0.1%
51.00499904 1
< 0.1%
50.97723939 1
< 0.1%
50.74158673 1
< 0.1%
50.68148282 1
< 0.1%
50.57693448 1
< 0.1%

Entropy
Real number (ℝ)

High correlation 

Distinct3699
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.073602617
Minimum0.00088157957
Maximum0.3945386
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:34.413252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00088157957
5-th percentile0.0016497128
Q10.0068564563
median0.066628049
Q30.11328436
95-th percentile0.21735967
Maximum0.3945386
Range0.39365702
Interquartile range (IQR)0.10642791

Descriptive statistics

Standard deviation0.070268693
Coefficient of variation (CV)0.95470373
Kurtosis0.45948572
Mean0.073602617
Median Absolute Deviation (MAD)0.05596301
Skewness0.95431319
Sum276.89305
Variance0.0049376892
MonotonicityNot monotonic
2025-04-07T19:14:34.611207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09044556364 3
 
0.1%
0.05887711687 3
 
0.1%
0.002579240842 3
 
0.1%
0.1320958302 3
 
0.1%
0.08281769953 3
 
0.1%
0.1429665912 3
 
0.1%
0.1157244053 3
 
0.1%
0.1130223024 3
 
0.1%
0.009411604743 3
 
0.1%
0.002042918286 3
 
0.1%
Other values (3689) 3732
99.2%
ValueCountFrequency (%)
0.0008815795698 1
< 0.1%
0.0009094170695 1
< 0.1%
0.0009393300864 1
< 0.1%
0.0009535950505 1
< 0.1%
0.0009612636144 1
< 0.1%
0.0009838491957 1
< 0.1%
0.0009960082093 1
< 0.1%
0.001003944577 1
< 0.1%
0.001008453256 1
< 0.1%
0.001013822341 1
< 0.1%
ValueCountFrequency (%)
0.3945386007 1
< 0.1%
0.3543115383 1
< 0.1%
0.3541162328 1
< 0.1%
0.3205527971 1
< 0.1%
0.3169967868 1
< 0.1%
0.3164327997 1
< 0.1%
0.3163870454 1
< 0.1%
0.3159110289 1
< 0.1%
0.3157928497 1
< 0.1%
0.3157792228 2
0.1%

Skewness
Real number (ℝ)

High correlation 

Distinct3699
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1027269
Minimum1.8860144
Maximum36.931294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:34.799827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.8860144
5-th percentile2.1521956
Q12.6202035
median3.4222098
Q34.6517369
95-th percentile8.2040997
Maximum36.931294
Range35.04528
Interquartile range (IQR)2.0315334

Descriptive statistics

Standard deviation2.5609398
Coefficient of variation (CV)0.62420431
Kurtosis30.604043
Mean4.1027269
Median Absolute Deviation (MAD)0.92189094
Skewness4.3327383
Sum15434.459
Variance6.5584128
MonotonicityNot monotonic
2025-04-07T19:14:35.008290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.072275985 3
 
0.1%
2.13819124 3
 
0.1%
3.518314601 3
 
0.1%
2.140700512 3
 
0.1%
2.499119715 3
 
0.1%
2.931194477 3
 
0.1%
2.466054236 3
 
0.1%
2.188765243 3
 
0.1%
3.774513944 3
 
0.1%
3.691717113 3
 
0.1%
Other values (3689) 3732
99.2%
ValueCountFrequency (%)
1.886014421 1
< 0.1%
1.88640224 1
< 0.1%
1.889810478 1
< 0.1%
1.898072602 1
< 0.1%
1.898619723 1
< 0.1%
1.903942275 1
< 0.1%
1.909396249 1
< 0.1%
1.911532497 1
< 0.1%
1.919386923 1
< 0.1%
1.922692595 1
< 0.1%
ValueCountFrequency (%)
36.93129405 1
< 0.1%
33.00861479 1
< 0.1%
31.9300939 1
< 0.1%
25.35591835 1
< 0.1%
24.95984548 1
< 0.1%
24.86082112 1
< 0.1%
23.79004329 1
< 0.1%
23.51159795 1
< 0.1%
23.21195481 1
< 0.1%
22.36058264 1
< 0.1%

Kurtosis
Real number (ℝ)

High correlation 

Distinct3699
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.389071
Minimum3.9424021
Maximum1371.6401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:35.470263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.9424021
5-th percentile4.9974591
Q17.2528523
median12.359088
Q322.640304
95-th percentile70.471091
Maximum1371.6401
Range1367.6977
Interquartile range (IQR)15.387452

Descriptive statistics

Standard deviation56.434747
Coefficient of variation (CV)2.3139359
Kurtosis183.24608
Mean24.389071
Median Absolute Deviation (MAD)6.0341132
Skewness11.308936
Sum91751.686
Variance3184.8807
MonotonicityNot monotonic
2025-04-07T19:14:35.687861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.733321846 3
 
0.1%
4.950695232 3
 
0.1%
14.06184357 3
 
0.1%
5.081163844 3
 
0.1%
6.523322958 3
 
0.1%
9.033440612 3
 
0.1%
6.46799956 3
 
0.1%
5.319591716 3
 
0.1%
15.11838664 3
 
0.1%
14.39033468 3
 
0.1%
Other values (3689) 3732
99.2%
ValueCountFrequency (%)
3.942402084 1
< 0.1%
3.956745535 1
< 0.1%
3.957773201 1
< 0.1%
3.992752634 1
< 0.1%
3.995830722 1
< 0.1%
4.016882834 1
< 0.1%
4.026807838 1
< 0.1%
4.039023216 1
< 0.1%
4.057744933 1
< 0.1%
4.06256925 1
< 0.1%
ValueCountFrequency (%)
1371.64006 1
< 0.1%
1099.56351 1
< 0.1%
1050.866388 1
< 0.1%
647.0215322 1
< 0.1%
634.433356 1
< 0.1%
621.4697254 1
< 0.1%
585.7967866 1
< 0.1%
554.8374804 1
< 0.1%
550.1110703 1
< 0.1%
518.4726636 2
0.1%

Contrast
Real number (ℝ)

High correlation 

Distinct3699
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.96146
Minimum3.1947332
Maximum3382.5742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:35.909709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.1947332
5-th percentile33.041201
Q172.125208
median106.73742
Q3161.05901
95-th percentile272.73866
Maximum3382.5742
Range3379.3794
Interquartile range (IQR)88.933798

Descriptive statistics

Standard deviation109.4996
Coefficient of variation (CV)0.85572329
Kurtosis236.11078
Mean127.96146
Median Absolute Deviation (MAD)41.543133
Skewness10.249119
Sum481391.01
Variance11990.163
MonotonicityNot monotonic
2025-04-07T19:14:36.293377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.8212793 3
 
0.1%
96.56340994 3
 
0.1%
96.03946834 3
 
0.1%
69.70644592 3
 
0.1%
93.05412235 3
 
0.1%
73.26732308 3
 
0.1%
80.48684211 3
 
0.1%
100.702722 3
 
0.1%
266.0462102 3
 
0.1%
72.47621283 3
 
0.1%
Other values (3689) 3732
99.2%
ValueCountFrequency (%)
3.194733195 1
< 0.1%
5.266578638 1
< 0.1%
5.322916667 1
< 0.1%
5.350220913 1
< 0.1%
5.64142049 1
< 0.1%
7.010451661 1
< 0.1%
7.61150085 1
< 0.1%
7.654545455 1
< 0.1%
7.944773775 1
< 0.1%
7.972747402 1
< 0.1%
ValueCountFrequency (%)
3382.574163 1
< 0.1%
1593.167391 1
< 0.1%
1546.905556 1
< 0.1%
1219.838542 1
< 0.1%
1191.76 1
< 0.1%
1187.851111 1
< 0.1%
1171.018519 1
< 0.1%
1022.941667 1
< 0.1%
972.6781327 1
< 0.1%
941.3194444 1
< 0.1%

Energy
Real number (ℝ)

High correlation 

Distinct3699
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20470513
Minimum0.024731171
Maximum0.58968179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:36.450074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.024731171
5-th percentile0.033845296
Q10.069617454
median0.2254965
Q30.29890142
95-th percentile0.42481135
Maximum0.58968179
Range0.56495062
Interquartile range (IQR)0.22928396

Descriptive statistics

Standard deviation0.12935164
Coefficient of variation (CV)0.63189254
Kurtosis-1.0512327
Mean0.20470513
Median Absolute Deviation (MAD)0.11185672
Skewness0.18569496
Sum770.1007
Variance0.016731848
MonotonicityNot monotonic
2025-04-07T19:14:36.595958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2648867526 3
 
0.1%
0.2111885119 3
 
0.1%
0.04240239998 3
 
0.1%
0.3249188476 3
 
0.1%
0.2528435589 3
 
0.1%
0.3389046945 3
 
0.1%
0.3026442411 3
 
0.1%
0.2989147744 3
 
0.1%
0.08219590256 3
 
0.1%
0.03774130745 3
 
0.1%
Other values (3689) 3732
99.2%
ValueCountFrequency (%)
0.02473117088 1
< 0.1%
0.02511782847 1
< 0.1%
0.02552960994 1
< 0.1%
0.02572611487 1
< 0.1%
0.0258229186 1
< 0.1%
0.02612388448 1
< 0.1%
0.02628710741 1
< 0.1%
0.02640882897 1
< 0.1%
0.02644935132 1
< 0.1%
0.02651983212 1
< 0.1%
ValueCountFrequency (%)
0.5896817874 1
< 0.1%
0.5553398754 1
< 0.1%
0.555279812 1
< 0.1%
0.5249362687 1
< 0.1%
0.5220665105 1
< 0.1%
0.5216908746 1
< 0.1%
0.5216604829 1
< 0.1%
0.5213420387 1
< 0.1%
0.5212632296 1
< 0.1%
0.5212539982 2
0.1%

ASM
Real number (ℝ)

High correlation 

Distinct3699
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05863159
Minimum0.00061163081
Maximum0.34772461
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:36.732705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00061163081
5-th percentile0.0011455041
Q10.0048465899
median0.050848672
Q30.089342058
95-th percentile0.18046469
Maximum0.34772461
Range0.34711298
Interquartile range (IQR)0.084495468

Descriptive statistics

Standard deviation0.058300356
Coefficient of variation (CV)0.99435059
Kurtosis0.92473877
Mean0.05863159
Median Absolute Deviation (MAD)0.04390919
Skewness1.1029473
Sum220.57204
Variance0.0033989315
MonotonicityNot monotonic
2025-04-07T19:14:37.015124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07016499169 3
 
0.1%
0.04460058755 3
 
0.1%
0.001797963524 3
 
0.1%
0.1055722575 3
 
0.1%
0.06392986527 3
 
0.1%
0.114856392 3
 
0.1%
0.09159353665 3
 
0.1%
0.08935004234 3
 
0.1%
0.006756166398 3
 
0.1%
0.001424406288 3
 
0.1%
Other values (3689) 3732
99.2%
ValueCountFrequency (%)
0.0006116308133 1
< 0.1%
0.000630905307 1
< 0.1%
0.0006517609835 1
< 0.1%
0.0006618329862 1
< 0.1%
0.000666823125 1
< 0.1%
0.0006824573406 1
< 0.1%
0.0006910120158 1
< 0.1%
0.0006974262474 1
< 0.1%
0.0006995681853 1
< 0.1%
0.0007033014956 1
< 0.1%
ValueCountFrequency (%)
0.3477246103 1
< 0.1%
0.3084023773 1
< 0.1%
0.3083356696 1
< 0.1%
0.2755580862 1
< 0.1%
0.2725534414 1
< 0.1%
0.2721613686 1
< 0.1%
0.2721296594 1
< 0.1%
0.2717975213 1
< 0.1%
0.2717153546 1
< 0.1%
0.2717057307 2
0.1%

Homogeneity
Real number (ℝ)

High correlation 

Distinct3699
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.47925188
Minimum0.10548979
Maximum0.81092085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:37.182339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.10548979
5-th percentile0.26751903
Q10.3649727
median0.51255116
Q30.57555662
95-th percentile0.66196412
Maximum0.81092085
Range0.70543106
Interquartile range (IQR)0.21058392

Descriptive statistics

Standard deviation0.12792908
Coefficient of variation (CV)0.26693496
Kurtosis-0.92942084
Mean0.47925188
Median Absolute Deviation (MAD)0.095592943
Skewness-0.28780481
Sum1802.9456
Variance0.01636585
MonotonicityNot monotonic
2025-04-07T19:14:37.326174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5539955352 3
 
0.1%
0.5505660943 3
 
0.1%
0.3519558846 3
 
0.1%
0.5547793686 3
 
0.1%
0.5621754227 3
 
0.1%
0.5945367888 3
 
0.1%
0.5477311873 3
 
0.1%
0.5440723915 3
 
0.1%
0.3601535623 3
 
0.1%
0.3403773266 3
 
0.1%
Other values (3689) 3732
99.2%
ValueCountFrequency (%)
0.1054897903 1
< 0.1%
0.1155092392 1
< 0.1%
0.1422373361 1
< 0.1%
0.1517896229 1
< 0.1%
0.1586336461 1
< 0.1%
0.1632952081 1
< 0.1%
0.1657501222 1
< 0.1%
0.1668358794 1
< 0.1%
0.1727623954 1
< 0.1%
0.1784246272 1
< 0.1%
ValueCountFrequency (%)
0.8109208458 1
< 0.1%
0.7901202353 1
< 0.1%
0.7669138353 1
< 0.1%
0.764696766 1
< 0.1%
0.7642882663 1
< 0.1%
0.7612905529 1
< 0.1%
0.7580978475 1
< 0.1%
0.756060591 1
< 0.1%
0.7373660036 1
< 0.1%
0.7367423149 1
< 0.1%

Dissimilarity
Real number (ℝ)

High correlation 

Distinct3698
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6984975
Minimum0.68112068
Maximum27.827751
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:37.464885image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.68112068
5-th percentile2.2963323
Q13.4123632
median4.4824042
Q35.7238213
95-th percentile7.6024816
Maximum27.827751
Range27.146631
Interquartile range (IQR)2.3114581

Descriptive statistics

Standard deviation1.8501726
Coefficient of variation (CV)0.39377963
Kurtosis13.80251
Mean4.6984975
Median Absolute Deviation (MAD)1.1477818
Skewness1.954792
Sum17675.748
Variance3.4231387
MonotonicityNot monotonic
2025-04-07T19:14:37.608843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.961097726 3
 
0.1%
4.529893925 3
 
0.1%
5.236505682 3
 
0.1%
3.852424573 3
 
0.1%
5.047531206 3
 
0.1%
3.350646154 3
 
0.1%
3.792790801 3
 
0.1%
4.222311468 3
 
0.1%
6.874894336 3
 
0.1%
4.916901408 3
 
0.1%
Other values (3688) 3732
99.2%
ValueCountFrequency (%)
0.6811206811 1
< 0.1%
0.7459990182 1
< 0.1%
0.9869090909 1
< 0.1%
1.001703287 1
< 0.1%
1.021423752 1
< 0.1%
1.099170918 1
< 0.1%
1.113764928 1
< 0.1%
1.115457672 1
< 0.1%
1.118659119 1
< 0.1%
1.128641638 1
< 0.1%
ValueCountFrequency (%)
27.8277512 1
< 0.1%
24.52604167 1
< 0.1%
20.40555556 1
< 0.1%
17.45 1
< 0.1%
16.49454545 1
< 0.1%
16.14615385 1
< 0.1%
16.00666667 1
< 0.1%
15.57407407 1
< 0.1%
15.27492877 1
< 0.1%
13.75974026 1
< 0.1%

Correlation
Real number (ℝ)

Distinct3699
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.95576673
Minimum0.54942625
Maximum0.98997235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:37.742616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.54942625
5-th percentile0.91551763
Q10.94713793
median0.96160982
Q30.97135471
95-th percentile0.97962912
Maximum0.98997235
Range0.4405461
Interquartile range (IQR)0.024216783

Descriptive statistics

Standard deviation0.026156806
Coefficient of variation (CV)0.027367353
Kurtosis47.195463
Mean0.95576673
Median Absolute Deviation (MAD)0.011331665
Skewness-4.7536675
Sum3595.5944
Variance0.00068417848
MonotonicityNot monotonic
2025-04-07T19:14:37.871551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.95195073 3
 
0.1%
0.9606178936 3
 
0.1%
0.9807249538 3
 
0.1%
0.9763616206 3
 
0.1%
0.9591719103 3
 
0.1%
0.9757554369 3
 
0.1%
0.9715760319 3
 
0.1%
0.9654821811 3
 
0.1%
0.960800909 3
 
0.1%
0.983938519 3
 
0.1%
Other values (3689) 3732
99.2%
ValueCountFrequency (%)
0.5494262491 1
< 0.1%
0.5742375419 1
< 0.1%
0.6067116976 1
< 0.1%
0.7078034546 1
< 0.1%
0.7339542626 1
< 0.1%
0.7543544049 2
0.1%
0.7576381847 1
< 0.1%
0.7607393514 1
< 0.1%
0.7632601105 1
< 0.1%
0.7776617214 1
< 0.1%
ValueCountFrequency (%)
0.9899723511 1
< 0.1%
0.9888343956 1
< 0.1%
0.9879144787 1
< 0.1%
0.9877465765 1
< 0.1%
0.9877377032 1
< 0.1%
0.9876253017 1
< 0.1%
0.9869909325 1
< 0.1%
0.9859045621 1
< 0.1%
0.9858776899 1
< 0.1%
0.9857163815 1
< 0.1%

Coarseness
Real number (ℝ)

Distinct146
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4583407 × 10-155
Minimum7.4583407 × 10-155
Maximum7.4583407 × 10-155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.5 KiB
2025-04-07T19:14:37.992950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.4583407 × 10-155
5-th percentile7.4583407 × 10-155
Q17.4583407 × 10-155
median7.4583407 × 10-155
Q37.4583407 × 10-155
95-th percentile7.4583407 × 10-155
Maximum7.4583407 × 10-155
Range1.4598383 × 10-167
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean7.4583407 × 10-155
Median Absolute Deviation (MAD)0
Skewness0
Sum2.8058278 × 10-151
Variance0
MonotonicityNot monotonic
2025-04-07T19:14:38.151685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.458340731 × 10-1553189
84.8%
7.458340731 × 10-1557
 
0.2%
7.458340731 × 10-1557
 
0.2%
7.458340731 × 10-1557
 
0.2%
7.458340731 × 10-1556
 
0.2%
7.458340731 × 10-1556
 
0.2%
7.458340731 × 10-1556
 
0.2%
7.458340731 × 10-1556
 
0.2%
7.458340731 × 10-1556
 
0.2%
7.458340731 × 10-1556
 
0.2%
Other values (136) 516
 
13.7%
ValueCountFrequency (%)
7.458340731 × 10-1553189
84.8%
7.458340731 × 10-1554
 
0.1%
7.458340731 × 10-1554
 
0.1%
7.458340731 × 10-1554
 
0.1%
7.458340731 × 10-1554
 
0.1%
7.458340731 × 10-1555
 
0.1%
7.458340731 × 10-1555
 
0.1%
7.458340731 × 10-1552
 
0.1%
7.458340731 × 10-1553
 
0.1%
7.458340731 × 10-1554
 
0.1%
ValueCountFrequency (%)
7.458340731 × 10-1551
 
< 0.1%
7.458340731 × 10-1554
0.1%
7.458340731 × 10-1554
0.1%
7.458340731 × 10-1555
0.1%
7.458340731 × 10-1554
0.1%
7.458340731 × 10-1552
 
0.1%
7.458340731 × 10-1556
0.2%
7.458340731 × 10-1553
0.1%
7.458340731 × 10-1556
0.2%
7.458340731 × 10-1552
 
0.1%

Interactions

2025-04-07T19:14:29.558240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:09.941751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:11.683224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:13.325476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:14.734549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:16.505647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:17.932956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:19.685050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:21.399179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:23.472874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:25.232382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:26.749242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:28.174291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:29.682813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:10.123127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:11.789102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:13.428097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:14.845208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:16.608740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:18.046269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:19.794475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:21.558743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:23.581243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:25.350747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:26.854034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:28.286985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:29.797121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:10.277900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:11.896685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:13.537836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:14.963985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:16.719823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:18.158428image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:19.903817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:21.710794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:23.690951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:25.464681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:26.961993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:28.390445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:29.912964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:10.441483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:11.998791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:13.642630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:15.086093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:16.816194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:18.285157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:20.012362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:21.865839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:23.803354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:25.587346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:27.064630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:28.493632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:30.030812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:10.627899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:12.305143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:13.752620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:15.217995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:16.926655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:18.396567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:20.133700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:22.020568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:23.915819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:25.701755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:27.192381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:28.612789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:30.146962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:10.780433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:12.413916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:13.856257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:15.544966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:17.040008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:18.512293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:20.246016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:22.176544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:24.034786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:25.816090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:27.300368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:28.714252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:30.274717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:10.887258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:12.527608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:13.964243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:15.662811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:17.158934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:18.626045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:20.370305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:22.327060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:24.154408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:25.935659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:27.415848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:28.820593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:30.389798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:11.004611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:12.636310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:14.074656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:15.782927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:17.278965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:18.741681image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:20.487690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:22.509753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:24.271440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:26.050573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:27.522667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:28.928158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:30.506640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:11.112336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:12.748969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:14.193180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:15.904183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:17.390439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:18.856905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:20.599501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:22.675070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:24.373709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:26.167361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:27.640676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:29.033011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:30.628313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:11.240275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:12.862635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:14.301548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:16.020868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:17.506282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:18.971256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:20.708124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:22.847864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:24.504176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:26.284036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:27.749407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:29.143181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:30.859937image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:11.350383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:12.976606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:14.417238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:16.147405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:17.623222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:19.340588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:20.884049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:23.022837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:24.614961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:26.397237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:27.860612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:29.249695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:30.967091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:11.463799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:13.093238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:14.519986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:16.273518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:17.722259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:19.461274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:21.048857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:23.187217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:25.011292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:26.508872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:27.955041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:29.352975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:31.500895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:11.565553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:13.202995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:14.624966image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:16.377571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:17.820259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:19.565004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:21.213172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:23.346624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:25.115900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:26.631757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:28.060473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-07T19:14:29.449375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-04-07T19:14:38.277176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ASMClassCoarsenessContrastCorrelationDissimilarityEnergyEntropyHomogeneityKurtosisMeanSkewnessStandard DeviationVariance
ASM1.0000.946-0.170-0.2290.160-0.6181.0001.0000.916-0.3480.012-0.338-0.330-0.330
Class0.9461.0000.1590.1080.1110.5030.9500.9340.9080.1120.2130.4000.3210.328
Coarseness-0.1700.1591.0000.032-0.0480.110-0.170-0.170-0.1610.063-0.0130.0610.0270.027
Contrast-0.2290.1080.0321.000-0.4190.801-0.229-0.231-0.4070.2640.0530.2660.3730.373
Correlation0.1600.111-0.048-0.4191.000-0.3250.1600.1590.184-0.1800.265-0.1830.3000.300
Dissimilarity-0.6180.5030.1100.801-0.3251.000-0.618-0.620-0.8050.493-0.0880.4880.3490.349
Energy1.0000.950-0.170-0.2290.160-0.6181.0001.0000.916-0.3480.012-0.338-0.330-0.330
Entropy1.0000.934-0.170-0.2310.159-0.6201.0001.0000.917-0.3480.011-0.338-0.332-0.332
Homogeneity0.9160.908-0.161-0.4070.184-0.8050.9160.9171.000-0.4660.069-0.455-0.335-0.335
Kurtosis-0.3480.1120.0630.264-0.1800.493-0.348-0.348-0.4661.000-0.8340.999-0.372-0.372
Mean0.0120.213-0.0130.0530.265-0.0880.0120.0110.069-0.8341.000-0.8410.7960.796
Skewness-0.3380.4000.0610.266-0.1830.488-0.338-0.338-0.4550.999-0.8411.000-0.377-0.377
Standard Deviation-0.3300.3210.0270.3730.3000.349-0.330-0.332-0.335-0.3720.796-0.3771.0001.000
Variance-0.3300.3280.0270.3730.3000.349-0.330-0.332-0.335-0.3720.796-0.3771.0001.000

Missing values

2025-04-07T19:14:31.749835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-04-07T19:14:31.898824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

ImageClassMeanVarianceStandard DeviationEntropySkewnessKurtosisContrastEnergyASMHomogeneityDissimilarityCorrelationCoarseness
0Image106.535339619.58784524.8915220.1090594.27647718.90057598.6139710.2933140.0860330.5309414.4733460.9819397.458341e-155
1Image208.749969805.95763428.3893930.2665383.71811614.46461863.8588160.4750510.2256740.6513523.2200720.9888347.458341e-155
2Image317.3410951143.80821933.8202340.0014675.06175026.47956381.8672060.0319170.0010190.2682755.9818000.9780147.458341e-155
3Image415.958145959.71198530.9792190.0014775.67797733.428845151.2297410.0320240.0010260.2438517.7009190.9641897.458341e-155
4Image507.315231729.54057927.0100090.1467614.28322119.079108174.9887560.3438490.1182320.5011406.8346890.9727897.458341e-155
5Image607.524109607.39525824.6453900.2140863.72988614.471736105.0778820.4215870.1777360.5981694.1931460.9764857.458341e-155
6Image7012.304413922.74613830.3767370.1288332.9300958.969348115.2031180.3206750.1028320.5322924.8803200.9747457.458341e-155
7Image8015.9294741069.95024832.7100940.1076582.4840026.51588994.8742880.2913210.0848680.5322624.2420540.9767747.458341e-155
8Image9019.9216161166.12092234.1485130.0949752.1291734.90584493.8189200.2724860.0742480.5266444.0271670.9743107.458341e-155
9Image1018.4761961095.78512733.1026450.0030024.36500019.68251472.5887830.0456850.0020870.3614324.5907950.9678307.458341e-155
ImageClassMeanVarianceStandard DeviationEntropySkewnessKurtosisContrastEnergyASMHomogeneityDissimilarityCorrelationCoarseness
3752Image375314.344086527.60628722.9696820.0736445.88362336.840538307.6663430.2383630.0568170.4293856.4839650.9568157.458341e-155
3753Image375410.19743323.2397374.8207610.05736324.959845634.433356701.3712120.2077470.0431590.37037410.3560610.8638037.458341e-155
3754Image375517.944397802.62679628.3306690.0258394.39852421.131761206.8793460.1381080.0190740.3595717.4734820.9628877.458341e-155
3755Image375613.789688519.15356022.7849420.0015736.49319443.882229173.7848740.0330560.0010930.2367698.4593840.9260337.458341e-155
3756Image3757020.9768221144.45606633.8298100.0622522.1062354.798339166.3959160.2179340.0474950.4884495.1930880.9488087.458341e-155
3757Image3758021.2345121208.85017434.7685230.0637742.0820794.647310158.4376000.2206660.0486930.4871315.2117390.9509727.458341e-155
3758Image3759020.4353491227.15144035.0307210.0667632.1446254.882034161.1586750.2259310.0510450.5027125.0831260.9527497.458341e-155
3759Image3760018.0115201151.58276533.9349780.0683962.3083495.579498167.1301180.2289300.0524090.4922695.1037000.9521817.458341e-155
3760Image3761013.330429945.73277930.7527690.0878722.7328227.757570223.8129320.2615270.0683970.4800646.4397840.9408987.458341e-155
3761Image376206.110138480.88402521.9290680.1181714.11066917.538826239.2513880.3062240.0937730.4943336.7873290.9387317.458341e-155